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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 467 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 1530527 (Python Code)

Max Activating Token Index: 163

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Text #1

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 1429835 (Python Code)

Max Activating Token Index: 18

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Text #2

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 1626186 (Python Code)

Max Activating Token Index: 844

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Text #3

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 1639120 (Python Code)

Max Activating Token Index: 981

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Text #4

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Data Index: 1434962 (Python Code)

Max Activating Token Index: 764

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Text #5

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Data Index: 1483365 (Python Code)

Max Activating Token Index: 273

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Text #6

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Data Index: 1436652 (Python Code)

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Text #7

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Data Index: 1388202 (Python Code)

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Text #8

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Data Index: 1570884 (Python Code)

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Text #9

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Data Index: 1405398 (Python Code)

Max Activating Token Index: 60

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Text #10

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Data Index: 1474780 (Python Code)

Max Activating Token Index: 215

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Text #11

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Data Index: 1505293 (Python Code)

Max Activating Token Index: 812

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Text #12

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Data Index: 1420072 (Python Code)

Max Activating Token Index: 100

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Text #13

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Max Act: 0.0172. Min Act: -0.0003

Data Index: 492607 (C4 (Web Text))

Max Activating Token Index: 647

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Text #14

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Data Index: 814743 (C4 (Web Text))

Max Activating Token Index: 871

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Text #15

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Data Index: 1578140 (Python Code)

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Text #16

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Data Index: 1653076 (Python Code)

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Text #17

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Data Index: 1361602 (Python Code)

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Text #18

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Data Index: 1443259 (Python Code)

Max Activating Token Index: 962

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Text #19

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Max Act: 0.0169. Min Act: -0.0003

Data Index: 1014232 (C4 (Web Text))

Max Activating Token Index: 292

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